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AI in compliance and anti-money laundering

11 of 270 banks (4%) in their 2025 annual reports. Banks that say they use or plan AI for compliance or anti-money laundering work.

The banks

• Princeton Bancorp, Inc.
  PA · Mid-size bank ($1B to $50B)

  These include Sophos for advanced cybersecurity threat detection and response, Verafin for fraud detection and AML compliance, the Glia Chatbot for enhancing customer service interactions, and CATO Networks for AI-driven network security and optimization.

  Using AI nowRead it in the report
• U.S. Bancorp
  MN · Large bank ($50B and above)

  The Company also uses several models that employ methodologies based on AI or machine learning, which bring unique complexities, such as the need for large datasets for training, the potential for algorithmic bias, and the need for greater explainability in interpreting model decisions.

  Sees AI as a riskRead it in the report
• CVB Financial Corp
  CA · Mid-size bank ($1B to $50B)

  We have adopted an AI Policy that establishes a governance framework for developing, deploying, and managing AI and Generative AI (GenAI) solutions and initiatives, including those involving vendors.

  Explains how AI is controlledRead it in the report
• Citigroup Inc
  NY · Large bank ($50B and above)

  applied technology solutions leveraging AI to support governance of data reported in key regulatory reports

  Using AI nowRead it in the report
• Community Financial System, Inc.
  NY · Mid-size bank ($1B to $50B)

  CFSI maintains enterprise-wide AI and Data Governance frameworks designed to promote the accuracy, privacy, security, and responsible use of data and AI across our operations. Executive oversight is provided by the Management Risk Committee and IT Steering Committee

  Explains how AI is controlledRead it in the report
• Eagle Bancorp Inc
  MD · Mid-size bank ($1B to $50B)

  because of the complexity inherent in these approaches, especially those based on artificial intelligence, misunderstanding or misuse of their outputs could similarly result in suboptimal decision-making, which could have a material adverse effect on our business

  Sees AI as a riskRead it in the report
• Finwise Bancorp
  UT · Small bank (Under $1B)

  We use generative AI for certain tasks like document drafting and data analysis, with an implementation of strict controls to protect customer data. Third-party AI assists us in cybersecurity, fraud detection, and code review, while our own agents handle compliance, policy analysis, and workflow

  Using AI nowRead it in the report
• JPMorgan Chase & Co.
  NY · Large bank ($50B and above)

  A dedicated independent function, Model Risk Governance and Review (“MRGR”), defines and governs the Firm’s policies relating to the management of model risk and risks associated with certain analytical and judgment-based estimations

  Explains how AI is controlledRead it in the report
• Juniata Valley Financial Corp
  PA · Small bank (Under $1B)

  Although the Company does not currently make significant use of artificial intelligence (“AI”), machine learning, or similar advanced data analytics technologies in its operations, the financial services industry is increasingly incorporating AI-enabled tools in areas such as credit underwriting,

  Sees AI as a riskRead it in the report
• PNC Financial Services Group
  PA · Large bank ($50B and above)

  we increasingly use models related to how we do business with customers and for internal process automation that leverage AI/machine learning algorithms.

  Using AI nowRead it in the report
• Union Bankshares Inc
  VT · Mid-size bank ($1B to $50B)

  We have begun piloting artificial intelligence (“AI”) and machine learning tools in certain internal and support functions, such as data analysis, fraud monitoring support, compliance processes, and operational efficiency initiatives.

  Testing or planning AIRead it in the report